The American Journal of Managed Care

Machine Learning Model Improves Prediction of Heart Failure Risk in CKD

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Neuroscience News

Wetware AI: Living Brain Cells Trained to Run Chaos Math

Can living neurons replace AI? A new study shows that biological neural networks (BNNs) can be trained to perform reservoir ...
Tech Xplore on MSN

Living brain cells enable machine learning computations

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Nature

Machine Learning Approaches for Thyroid Disease Diagnosis and Prediction

Recent advances in machine learning have significantly enhanced the diagnosis and prediction of thyroid diseases. By integrating diverse algorithms including ensemble methods, neural networks, and ...

Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

EVP of Integrated Quantum Technologies Publishes White Paper on Privacy-Preserving Machine Learning Without Performance Trade-Offs

Mr. Jeremy Sameulson, EVP of AI and Innovation at IQT, publishes VEIL™ Privacy-Preserving Machine Learning Framework on arXiv: Introduces an architecture designed to enable use of sensitive data ...

Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress

Researchers from several Parisian institutions have worked together to develop a non-destructive approach to study how ...
Analytics Insight

AI, Machine Learning, and the Evolution of Automated Bank Reconciliation Software

In this digitally dominated economy, where instantaneous transactions are the order of the day for all businesses, the landscape of accounting technology has li ...